Data Storytelling Jobs in Mumbai

CHESS/ESG Data Analyst Location: Mumbai Employment Type: Full-time Reporting To: Global Head of ESG Reporting & CHESS Systems Role Summary The CHESS/ESG Data Analyst is responsible for managing, validating, and supporting ESG and CHESS data across all operating companies. This role ensures data integrity, supports assurance readiness, and drives digital optimization for ESG reporting, acting as the operational link between site teams and Group Sustainability. Key Responsibilities 1. Data Collection and Validation Coordinate and track ESG/CHESS data submissions from operating companies. Validate inputs for accuracy and compliance with Group data standards. Manage version control and evidence logs to ensure auditability. Resolve data gaps and anomalies by following up with specific sites and functions. 2. System Management and Analytics Provide user administration and troubleshooting support for Intelex. Develop automated dashboards and visualizations using Qlik Sense or Power BI. Contribute to system enhancements and the integration of internal data solutions. Support automation pilots and reporting enhancements to drive digital maturity. 3. Assurance and Compliance Support queries from external auditors with precise data extracts and documentation. Maintain organized, traceable evidence files for key ESG metrics. Coordinate the completion and validation of external ESG questionnaires. 4. Stakeholder Engagement Build collaborative relationships with divisional CHESS leads and functional teams. Serve as the primary point of contact for operational data queries and user assistance. Support training sessions to improve data ownership across the organization. Qualifications & Experience Experience: 3 6 years in data coordination, ESG reporting, or management systems. Technical Skills: Experience using Intelex is required; knowledge of Qlik Sense or Power BI is highly desirable. Core Competencies: Strong attention to detail, documentation discipline, and the ability to manage global deadlines. Role Impact Ensures traceable data to support global reporting and assurance. Strengthens the operational foundation of sustainability data systems. Improves process efficiency through system optimization.

Position: Data Analyst Collections Location: Mumbai Qualification: Graduate Experience: 3 to 6 years Job Description: We are looking for a Data Analyst Collections to join our team. This role involves analyzing and interpreting data from multiple sources to provide actionable insights and support decision-making. You will be responsible for reporting, system management, process improvement, and collaborating cross-functionally to drive performance improvements. Key Responsibilities: Data Analysis & Reporting: Collect and analyze data from various sources to identify trends, patterns, and key insights. Prepare daily, weekly, and monthly operational reports as well as client-specific reports. Design and manage interactive dashboards to track key performance indicators (KPIs) and provide insights for management decision-making. System Management: Oversee the daily operation and maintenance of information systems, ensuring smooth and secure data handling. Ensure the accuracy, security, and integrity of all databases. Provide support for troubleshooting and resolving any system-related issues. Process Improvement & Automation: Identify and implement opportunities to enhance reporting processes and system efficiency. Automate repetitive tasks and processes using advanced Excel functions (VBA, Macros), SQL, and BI tools such as Power BI or Tableau. Strategic & Cross-Functional Support: Collaborate with various departments to understand data requirements and deliver customized reports. Monitor compliance with Service Level Agreements (SLAs), internal controls, and regulatory standards. Provide technical support to enhance decision-making and business performance across teams. Key Qualifications & Skills: Technical Expertise: Advanced proficiency in MS Excel (functions, VBA/Macros), SQL, Tableau, Power BI, and database management systems. Analytical Skills: Strong ability to process large datasets, identify trends, and derive actionable insights. Regulatory Knowledge: Familiarity with debt collection laws, compliance requirements, and reporting standards (preferred for roles related to collection or finance MIS). Communication Skills: Ability to clearly present data insights to both technical and non-technical stakeholders. Qualification : Graduate

Job Title: Junior Data Center Engineer Location: Mumbai Experience: 1-5 Years Job Summary: We are looking for two enthusiastic and technically adept Junior Data Center Engineers to support the day-to-day operations at our Mumbai data center. Under the guidance of a Senior System Administrator, the ideal candidates will assist in hardware installations, monitoring, troubleshooting, and maintaining both physical and virtual infrastructure. Key Responsibilities: Hardware Installation & Maintenance: Assist in the installation and maintenance of servers, network devices, and racks. Environment Monitoring: Monitor key data center environmental factors such as temperature, humidity, and power to ensure optimal conditions. Troubleshooting: Perform basic troubleshooting of hardware and network issues, escalating more complex problems as needed. Remote Hands Support: Provide support for remote hands requests and coordinate with internal teams for resolutions. Inventory Management: Maintain accurate inventory of IT assets and ensure proper documentation for all equipment. Patching & Cabling: Assist in the patching, cabling, and labeling of equipment for organization and efficiency. Incident Handling: Follow SOPs for incident handling, escalation, and reporting to ensure smooth operations. Security & Compliance: Ensure compliance with physical security and access protocols for the data center. Scheduled Maintenance & Upgrades: Participate in scheduled maintenance and upgrades of data center infrastructure. Technical Skills: Operating Systems: Basic understanding of Windows and Linux operating systems. Networking: Familiarity with networking concepts such as IP, DNS, DHCP. Virtualization: Exposure to virtualization platforms like VMware and Nutanix (preferred). Data Center Operations: Knowledge of data center hardware components and operations. Monitoring & Ticketing Tools: Experience working with monitoring tools and ticketing systems. Hardware Handling: Comfort with hardware handling, cabling, and labeling. Soft Skills: Communication: Good communication and interpersonal skills to effectively collaborate with internal teams and vendors. Willingness to Learn: Eagerness to learn and adapt to new technologies in the data center environment. Attention to Detail: Strong attention to detail with a focus on documentation and operational accuracy. Adaptability: Ability to work in shifts and handle pressure in a fast-paced environment. Team Player: Proactive and collaborative attitude to contribute effectively to team success. Preferred Qualifications: Education: Diploma or Bachelor s degree in Computer Science, IT, or a related field. Certifications: Certifications such as CCNA, CompTIA A+, or equivalent (preferred but not required). Dynamic Environment: Be part of a fast-paced and innovative data center team, supporting critical infrastructure operations. Learning Opportunities: Gain hands-on experience in both physical and virtual environments with exposure to cutting-edge technologies. Growth Potential: Opportunity to expand your skill set and grow within a rapidly evolving field. Qualification : Diploma or Bachelors degree in Computer Science, IT, or a related field

Job Title: Content Writer Location: Mumbai Experience: 1 5 Years Education: Bachelor s degree in Journalism, English, Marketing, Communications, or a related field Position Overview: We are looking for a creative and detail-oriented Content Writer to join our team in Mumbai. The ideal candidate has a passion for storytelling, a knack for writing engaging content across various formats, and a solid understanding of SEO and content marketing trends. This role will contribute directly to our brand voice, audience engagement, and overall content strategy. Key Responsibilities: Write high-quality, SEO-optimized content for website pages, blogs, and articles Create compelling copy for marketing materials including brochures, emails, leaflets, social media posts, print ads, and other collateral Draft thought leadership content for LinkedIn posts and long-form articles, tailored to industry trends and audience engagement Conduct in-depth industry research to ensure accuracy and value in every piece of content Collaborate with the marketing and leadership teams to align content strategies with business goals Ensure all content maintains a consistent tone, voice, and style that aligns with brand guidelines Edit and proofread content to ensure clarity, grammar, and readability Stay up to date with the latest content marketing, SEO, and social media best practices Qualifications & Skills: Proven experience as a Content Writer, Copywriter, or similar role Excellent writing, editing, and proofreading skills in English Strong ability to craft engaging, thought leadership content for platforms like LinkedIn Solid research capabilities and attention to factual accuracy Familiarity with SEO principles, including keyword research and on-page optimization Ability to manage multiple projects and meet deadlines in a fast-paced environment Creativity, attention to detail, and a strong storytelling mindset Preferred: Experience in writing for B2B or tech-driven industries Familiarity with content tools like Grammarly, SEMrush, Surfer SEO, or WordPress Understanding of content performance metrics and analytics tools Qualification : Bachelors degree in Journalism, English, Marketing, Communications, or a related field

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Job Title: Senior Product Designer Location: Mumbai Employment Type: Full-Time Experience: 3+ Years About Fynd: Fynd is India s largest omnichannel retail platform and a cutting-edge tech company working across AI, ML, big data, image editing, and education. Trusted by over 2,300+ brands, Fynd helps businesses seamlessly manage their online and offline presence from store operations and inventory to customer engagement and beyond. We are transforming the future of retail through technology, and we re looking for passionate individuals to help shape the journey. What You ll Do at Fynd: As a Senior Product Designer, you ll play a key role in crafting intuitive, visually stunning, and impactful product experiences for millions of users. Your work will directly influence how customers interact with our platform across various touchpoints. Ideation & Research Brainstorm innovative solutions to address real user needs. Conduct user studies and product research to identify pain points and opportunities. Analyze data to drive design decisions and iterate continuously. Design & Prototyping Ideate, wireframe, and prototype UI flows for web and mobile interfaces. Create high-fidelity designs and pixel-perfect visuals. Generate compelling content for product communication and interfaces. Testing & Delivery Conduct usability testing and synthesize feedback into actionable insights. Work closely with product managers and engineers to deliver production-ready designs. Ensure a consistent and delightful user experience across all touchpoints. Ownership & Innovation Take end-to-end ownership of design projects from concept to launch. Push the boundaries of design innovation in every sprint. Own products that sell themselves through great design. What We re Looking For: A strong portfolio of design work that showcases user-focused thinking and beautifully crafted UI/UX. Proficiency in tools like Figma, Sketch, Adobe XD, InVision, and Adobe Creative Suite. 3+ years of experience designing for Social, SaaS, Analytics, or E-commerce platforms. Strong communication skills written, verbal, and visual. A natural collaborator who works well under tight deadlines. Curiosity and drive to learn beyond your comfort zone. A proactive, professional mindset always thinking a step ahead. Unmatched Growth Be part of a company growing exponentially in product lines and international markets. We mentor and groom our people into leaders. Get direct ownership of impactful projects. Flex University & Learning Wallet Regular in-house learning sessions across domains. Reimbursements for external courses and certifications. Strong Work Culture Work alongside incredibly talented and passionate teams. Participate in team-building events, community activities, and parties. Collaborate in a vibrant, 5-day in-office setup to drive innovation and synergy. Wellness & Support Comprehensive mediclaim for you, your parents, spouse, and kids. Access to an experienced therapist to support mental health and productivity. Apply Now: If you're a creative thinker, a systems-level designer, and love solving complex problems with simple, elegant solutions we'd love to hear from you. Come design the future of retail tech with us.

Employer Branding & Events Senior Associate Location: Mumbai Experience: 2 4 Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a multi-platform tech company at the cutting edge of retail innovation. We specialize in AI, ML, big data, image editing, and learning technologies enabling over 2,300 brands to manage online/offline sales, inventory, and customer engagement with ease. As a company, we re not just transforming the retail space we re also building a thriving culture that reflects innovation, inclusion, and impact. Role Overview We re looking for a creative and detail-oriented Senior Associate Employer Branding & Events to help bring Fynd s culture to life. This role blends event management, social media storytelling, and vendor operations to shape how people experience and perceive Fynd both inside and out. You ll craft experiences that energize employees, build an authentic online presence, and ensure operational excellence behind every activation. If you love creating engaging moments, managing multiple moving parts, and driving culture through storytelling, we d love to hear from you. Key Responsibilities Event Management & Employee Experience Plan and execute internal events, L&D sessions, workshops, and celebrations. Partner with co-working spaces (e.g., WeWork) for curated monthly activations like flea markets and creative sessions. Handle end-to-end logistics: budgeting, vendor coordination, sourcing, and on-site execution. Gather post-event feedback and amplify moments across internal and external channels. Social Media & Employer Branding Own and execute content strategies for LinkedIn and Instagram (Life at Fynd). Collaborate with designers, freelancers, and team members to create authentic, engaging content. Monitor performance metrics, report monthly insights, and build a vibrant digital employer brand. Actively engage with the online community by responding to comments and DMs. Vendor & Procurement Management Source and manage vendors for merchandise, events, gifting, and activations. Oversee procurement: from POs and quality checks to invoicing and payments. Maintain inventory of company goodies and ensure accurate distribution and stock tracking. Podcast Coordination Fynd Cast Support scheduling, guest coordination, and production logistics for our internal podcast, Behind Closed Doors. Work with editors and freelancers to ensure timely episode rollouts. Track performance analytics and optimize for future content strategies. Internal Communication & Engagement Create new joiner announcements and employee-facing designs using Canva. Plan and support engagement activities to close onboarding cohorts memorably. Assist in the backend coordination of learning and development sessions. Reporting & Presentation Compile event recaps, social media reports, and feedback summaries. Build polished presentation decks to showcase outcomes, insights, and recommendations to leadership. What You ll Need Must-Have Qualifications 2 4 years of hands-on experience in event planning, social media, and vendor management. Bachelor s degree in Marketing, Media & Communication, or related disciplines (preferred). Proficiency in Canva, Google Workspace (Docs, Sheets, Slides), and social scheduling tools like Meta Business Suite or Later. Strong skills in performance analytics and reporting. Excellent communication and stakeholder management abilities. Strong organizational skills, attention to detail, and the ability to juggle multiple priorities. A self-starter mindset with creativity, ownership, and initiative. Nice to Have Experience in podcast production or guest coordination. Exposure to employer branding and employee engagement programs. Familiarity with onboarding or internal communication best practices. Growth We foster a culture of curiosity, creativity, and continuous learning. Flex University: In-house learning opportunities. Learning Wallet: Reimbursement for external courses and certifications. Culture Weekly and quarterly engagement activities. Annual events and celebrations that bring our people together. Wellness Mediclaim coverage for you, your parents, spouse, and kids. Access to licensed therapists to support mental well-being and productivity. Work Culture: We work from our Mumbai office 5 days a week, promoting collaboration, creativity, and a vibrant team environment. If you re ready to shape how people experience work at Fynd this is your stage. Qualification : Bachelors degree in Marketing, Media & Communication, or related disciplines (preferred)

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Position: Director Design Company: Upstox Department: Design Location:Mumbai About Upstox At Upstox, we're redefining the future of investing making it simple, powerful, and accessible to all. As one of India s fastest-growing fintech platforms, backed by industry leaders like Mr. Ratan Tata and Tiger Global, we re on a mission to democratize wealth creation for every Indian. Whether it s a first-time investor or a seasoned trader, millions rely on us to navigate their financial journey. If you re excited by high-growth environments, real impact, and bold innovation, Upstox is the place to be. The Role: Director Design As the Director of Design, you ll lead a multidisciplinary team of product designers and shape the long-term vision, strategy, and execution of design across Upstox s fintech products. This is a strategic and hands-on leadership role focused on delivering seamless, user-centric experiences that power millions of financial journeys. You'll champion design not as an afterthought, but as an integral part of the product development process. Key Responsibilities Lead and drive end-to-end UX/UI design for critical fintech products across platforms Define and execute a long-term design strategy aligned with product and business goals Build, mentor, and guide a high-performing design team, while remaining hands-on when needed Own and evolve the design system to ensure consistency, scalability, and efficiency Translate user research, market trends, and analytics into impactful design solutions Collaborate cross-functionally with product, engineering, marketing, compliance, and business teams Regularly review design performance using KPIs, user feedback, and usability testing Foster a culture of design excellence, experimentation, and innovation 10+ years of professional design experience, with 3+ years in a leadership or lead designer role Strong portfolio demonstrating end-to-end product design in consumer tech, fintech, or high-growth digital products Proficiency in modern design tools like Figma, Sketch, Adobe XD, with deep understanding of design systems Solid grasp of user-centered design, interaction design, and visual design principles Ability to mentor, influence, and communicate effectively across all levels of the organization Experience in working within agile, fast-paced environments, balancing business goals and user needs Bachelor's degree in Design, HCI, Computer Science, or a related field Awareness of industry-specific compliance, accessibility, and security standards Why This Role is a Game-Changer Shape the financial experiences of millions in India s dynamic fintech ecosystem Collaborate directly with founders, product, engineering, and growth leaders on high-impact initiatives Influence company direction through design-led thinking and execution Build and nurture a world-class design culture in a growing organization Be part of a mission-driven company where design is central to trust, product success, and customer loyalty Qualification : Bachelor's degree in Design, HCI, Computer Science, or a related field

Position: Data Analyst Location: Mumbai, India Division: Data & Analytics / Marketing About the Role As a Data Analyst within the Blenheim Chalcot portfolio and Oakbrook, you will be crucial in driving data-driven insights for our consumer lending business. You will analyze marketing performance across direct and third-party aggregator channels, helping optimize spend and strategy. Your work will involve building and maintaining dashboards (SQL, Power BI), monitoring campaign and product performance, and ensuring channel efficiency. Key Responsibilities Campaign & Channel Performance Analysis Track and analyze marketing campaigns (paid search, social, email, display, aggregators). Measure key conversion metrics: impressions → clicks → applications → approvals → disbursals. Identify underperforming campaigns/channels and recommend improvements. Aggregator Performance Monitoring Monitor lead volume, quality, and conversion rates from aggregators (e.g., Clear Score, Compare the Market). Benchmark aggregator ROI and provide actionable insights for partner management. Product Performance Tracking Analyze application, approval, and disbursal trends by product type. Segment performance by demographics, channel, and credit risk tiers (prime, near-prime, non-prime). Identify opportunities for product/pricing optimization. Dashboard Development & Reporting Design and maintain interactive dashboards using SQL and Power BI. Ensure data accuracy and real-time performance tracking. Present weekly/monthly reports and insights to marketing, finance, and product teams. Customer Journey & Funnel Analysis Analyze drop-off points in the customer journey. Collaborate with CRO and UX teams to improve application flows. Support A/B testing with data analysis. Marketing Data Governance Ensure campaign tagging and data standards across platforms (GA, CRM, ad networks). Collaborate with data engineering on data quality and pipeline improvements. About You Technical Skills: Advanced SQL skills (complex queries, joins, CTEs) on relational databases (Snowflake, Big Query, Redshift). Proficient in Power BI (dashboard design, KPI visualization, DAX calculations). Strong Excel/Google Sheets skills (pivot tables, VLOOKUP/XLOOKUP, array formulas). Data cleaning and preparation expertise; familiarity with Alteryx or Python/Pandas is a plus. Understanding of UTM tracking, campaign attribution models, and analytics platforms (Google Analytics, Adobe Analytics). Experience with A/B testing and statistical analysis. Familiarity with CRM and marketing platforms (Google Ads, Meta, email/SMS tools). Awareness of GDPR and data governance best practices. Non-Technical Skills: Commercial awareness in lending context (customer acquisition cost, ROI, bad debt rates). Ability to translate data insights for non-technical stakeholders (marketing, finance, compliance). Strong attention to detail and problem-solving mindset. Excellent time management balancing regular reporting and ad-hoc analysis. Curious and proactive in identifying trends and opportunities. Collaborative working style across marketing, product, risk, and data teams. About Blenheim Chalcot & Oakbrook Blenheim Chalcot is a world-leading digital venture builder with over 26 years of experience creating disruptive businesses in FinTech, EdTech, GovTech, and more. Our India team plays a vital role in our success, fostering innovation and entrepreneurship since 2014. Oakbrook, a fast-scaling FinTech venture in our portfolio, leverages advanced analytics and technology to provide personalized consumer lending solutions. We aim to simplify borrowing with fair, data-driven credit access tailored to individual customers. Join the world s leading digital venture builder. Work with a diverse, talented team in a culture of continuous learning and innovation. Opportunity to work on Gen AI-enabled cutting-edge solutions. A fun, open, and cricket-enthusiast environment (home of Rajasthan Royals IPL team!). 24 days annual leave + 10 public holidays. Private medical insurance for you and your family & life insurance coverage. Our Commitment We value diversity and inclusion, fostering a culture where everyone s skills and talents can thrive. We recruit, develop, and promote based on merit and competence, driven by curiosity and collaboration. Join us to make an impact in a data-driven, fast-paced environment.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Position: Senior Product Marketing Manager Location: Mumbai, India (Hybrid) Function: Marketing | B2C Fintech | Full-Time The Role We are hiring a Senior Product Marketing Manager to lead the go-to-market strategy for our cutting-edge AI Agent mortgage product, while driving customer acquisition and lifecycle engagement across the ecosystem. This is a high-agency, strategic leadership role for someone who thrives on end-to-end ownership from GTM planning to growth experimentation and product positioning. You'll work at the intersection of AI innovation and digital financial services, helping shape how the next generation of homeowners discover, compare, and secure mortgages. Key Responsibilities AI Agent Product Launch & GTM Strategy GTM Leadership: Own the B2C go-to-market strategy for Koodoo s GenAI-powered mortgage assistant product. Positioning & Messaging: Craft compelling value propositions and positioning in a competitive mortgage tech landscape. AI-First Marketing: Integrate GenAI capabilities across marketing collateral, campaigns, and product storytelling. Customer Research: Conduct deep dives into audience needs, industry benchmarks, and competitive analysis. Innovation: Leverage AI-native tools and channels for creative, high-impact customer acquisition. Customer Lifecycle & Engagement Optimization Lifecycle Management: Optimize engagement across our 12,000+ user email base (growing by ~1,000 users/week). Retention Tools: Scale our automated mortgage rate alert system, improving re-engagement and conversions. Experimentation: Design, execute, and analyze A/B tests across key touchpoints (using tools like PostHog). LTV Growth: Drive lifecycle campaigns that improve user retention, repeat engagement, and lifetime value. Strategic Marketing Operations Cross-Functional Execution: Collaborate with Product, Design, Operations, Mortgage Advisors, and Compliance teams. Performance Tracking: Define and own KPIs for product launches and customer engagement success. Thought Leadership: Develop content that positions Koodoo as the UK s leading AI-first mortgage platform. Channel Innovation: Test and scale new customer acquisition channels; optimize existing ones. Strategic Alignment: Ensure marketing is embedded into product development processes and business planning. About You You re a strategic and execution-focused marketer who thrives in fast-paced environments. You re not only fluent in data and GTM planning you re also excited to experiment with AI, deeply understand customer needs, and lead cross-functional teams to success. Requirements 7 10 years of experience in product marketing, ideally in fintech, mortgage, or other high-consideration B2C verticals. Proven product launch experience, including AI/ML product GTM preferred. Expertise in customer acquisition, lifecycle marketing, and performance optimization. Experience with analytics and experimentation tools (e.g., PostHog, Mixpanel, GA4). High ownership mindset with ability to operate independently and iteratively. Strong cross-functional collaboration skills, including with product and technical teams. Excellent written and verbal communication; comfortable writing customer-facing content and internal briefs. Preferred: Familiarity with UK mortgage/lending ecosystem and related regulations. About Blenheim Chalcot Blenheim Chalcot is the UK s leading digital venture builder, with over 26 years of experience creating more than 40 successful startups in FinTech, EdTech, GovTech, Media, and more. All our ventures are GenAI-enabled, backed by world-class talent and a robust innovation ecosystem. Our India team, established in 2014, powers the growth of our global ventures through world-class engineering, marketing, data, operations, and finance. About Koodoo Koodoo is transforming the UK mortgage journey through digital innovation and AI-driven products. We help consumers from first-time buyers to re-mortgagers compare products, track rates, and connect with lenders via a simple, intuitive interface. Our recent breakthrough: passing the CeMAP exam using AI a UK-first milestone in mortgage tech. We partner with major UK banks and leading comparison brands to power smarter, AI-first mortgage journeys. A chance to work at one of the world s most respected venture builders. Exposure to high-growth fintech and GenAI-led marketing strategies. 24 days of annual leave + 10 public holidays. Private medical insurance for you and your family. Life insurance. Learning & development culture: access to venture-wide training, tools, and mentoring. A collaborative, fun, and high-performing team environment (plus cricket we own the Rajasthan Royals IPL team!). Diversity & Inclusion At Blenheim Chalcot, inclusion and meritocracy drive our decisions. We welcome talent from diverse backgrounds and believe that agility, generosity, and curiosity power innovation. We focus on developing people based on potential and capability, not just credentials. Recruitment Process Our hiring process is streamlined and respectful of your time. It typically begins with an introductory 15-minute call, followed by in-depth interviews with stakeholders from marketing, product, and leadership.

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Quantitative Data Analyst Location: Mumbai About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT s collaborative mindset which enables us to solve the most complex challenges. QRT s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an exceptional Quantitative Developer / Analyst to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency. Your future role within QRT This team is integral to the firm s success. As such, your responsibilities will include: Sourcing, designing and onboarding new datasets according to trading desks priorities Becoming an expert on QRT s internal tools to help the relevant desks efficiently, using data in production of trading systems Proactively solving data related problems in order to minimize time to production Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production Your present skillset Advanced programming experience in Python. C/C++, C# is a plus 3+ years of experience as a Data Engineer/Analyst/Scientist Prior experience working with commodities data is a must Post-Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics Capacity to work with autonomy within a global team (researchers and data engineers) Experience with Bloomberg/Reuters data ecosystems A keen interest in financial markets, data analysis, and programming Fast learner, intellectual curiosity, problem solver Ability to work in a high-performance, high-velocity environment Excellent communication skills, both written and verbal QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.